Please use this identifier to cite or link to this item: https://hdl.handle.net/10955/515
Title: Optimization and Ontology for Computational Systems Biology
Authors: Umeton, Renato
Di Gregorio, Salvatore
Nicosia, Giuseppe
Keywords: Ontology
Issue Date: 10-Apr-2014
Series/Report no.: INF/01;
Abstract: In the context of my PhD I studied mostly problems that nd their location in the bioinformatics and bioengineering elds. The arti cial photosynthesis has been object of my research and problems like the e cient sequestrations of CO2 and the optimization of the Nitrogen consumption have been taken as target. Geobacter sulfurreducens, a microorganism capable of employing biomasses to produce electrons, has been studied as well. New algorithmic approaches have been developed on both topics and new results obtained are currently un- der consideration for \in vitro" and \in vivo" implementations. The integration of the information coming from biological and medical re- sources is a problem that I tackled as well; in this case, the resulting software is currently embedded in the project Cytosolve@MIT. On a parallel track, I also studied problems that are modeled in terms of Cellular Automata, that are a computing environment that shows a straight inspiration from natural phenomena.
Description: Dottorato di Ricerca in Matematica ed Informatica,XXIII Ciclo, a.a. 2010
URI: http://hdl.handle.net/10955/515
Appears in Collections:Dipartimento di Matematica e Informatica - Tesi di Dottorato

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